Update app.py

app.py

@@ -25,8 +25,18 @@ from sklearn.preprocessing import StandardScaler
 from sklearn.ensemble import ExtraTreesRegressor
 from sklearn.preprocessing import LabelEncoder
 
-
-train = pd.read_csv('C:\Users\user\Desktop\ChurnAnalysis_CapstonePred\Train.csv')
+import gdown
+
+#train = pd.read_csv('https://drive.google.com/file/d/1U1ic5GE42_cxs8VvuOx7EDaHqtA0oEFC/view?usp=sharing.csv')
+#https://drive.google.com/file/d/1U1ic5GE42_cxs8VvuOx7EDaHqtA0oEFC/view?usp=sharing
+file_id = '1U1ic5GE42_cxs8VvuOx7EDaHqtA0oEFC'
+# Define the URL to download the file
+url = f'https://drive.google.com/uc?id={file_id}'
+# Download the file and name it 'train.csv'
+output_file = 'train.csv'
+gdown.download(url, output_file, quiet=False)
+# Read the CSV file with Pandas
+train = pd.read_csv(output_file)
 
 # use lambda function to remove \t make our model more robst
 train = train.applymap(lambda x: x.replace("\t" , '' ) if isinstance (x , str) else x)